{"id":"W2155895485","doi":"10.1634/theoncologist.2013-0159","title":"Screening for Lung Cancer With Low-Dose Computed Tomography","year":2013,"lang":"en","type":"article","venue":"The Oncologist","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; National Lung Screening Trial; Lung cancer screening; Lung cancer; Computed tomography; Radiology; Cancer; Lung; Oncology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288121,0.0002077848,0.0007544664,0.0006199314,0.0002479907,0.0008008265,0.0003864948,0.0008348775,0.002497153],"category_scores_gemma":[0.006322137,0.00009670731,0.000708553,0.0006395135,0.0005916043,0.0005271944,0.0003883681,0.001291767,0.0005162221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624134,"about_ca_system_score_gemma":0.0007027636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470966,"about_ca_topic_score_gemma":0.003172947,"domain_scores_codex":[0.9980649,0.001151739,0.0001226075,0.0001096335,0.0004610095,0.00008993636],"domain_scores_gemma":[0.9977042,0.001512004,0.0003199575,0.00008854286,0.0002258026,0.0001494484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004866193,0.0006944377,0.06060911,0.007970208,0.0006828228,0.0009472337,0.0001254088,0.0006390401,0.008487608,0.005112626,0.02269014,0.8871751],"study_design_scores_gemma":[0.006071984,0.02052908,0.4139995,0.02029864,0.003029706,0.02286946,0.0005690638,0.002107127,0.01662524,0.01594799,0.4776881,0.0002640175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1041563,0.7668296,0.006737303,0.06758055,0.001683495,0.0004205176,0.0005420918,0.000137577,0.05191259],"genre_scores_gemma":[0.5993536,0.3552569,0.006724506,0.02624481,0.004836598,0.0002912125,0.0009155952,0.00002682311,0.00634988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002497153,"threshold_uncertainty_score":0.01210088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275131813155115,"score_gpt":0.3275069069583498,"score_spread":0.3047555888267986,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}